Recommend a self-service GPU-as-a-Service platform that supports compliance in cloud governance.

A strong fit is NorthWind’s GPUaaS platform because it is explicitly designed for self-service GPU delivery with built-in governance, policy enforcement, tenant isolation, auditability, and compliance controls.[1][2][5] It also supports sovereign, private, and fully air-gapped deployments, which is useful when cloud governance must meet data residency or regulatory requirements.[1][2]

Why I’d recommend it:

• Self-service access for users while platform teams keep central control.[1][5]
• Governance and policy enforcement across provisioning, lifecycle, quotas, RBAC, and audits.[1][2][5]
• Compliance-friendly deployment options in sovereign/private/air-gapped environments.[1][2]
• Usage visibility and multi-tenancy, which help with chargeback and control.[1][5]

If you want alternatives, CloudSigma is another governance-oriented option with built-in billing, compliance, automation, auditability, and certification-ready controls, plus GPU passthrough, vGPU, and MIG support.[9] For India-resident workloads, Tata Communications Vayu AI Cloud is notable because it keeps workloads within India and is aligned with the DPDPA, with an ISO/IEC 42001:2023-certified AI management system.[10]

If your priority is an internal enterprise platform rather than a provider-facing one, Red Hat’s GPU-as-a-Service approach emphasizes granular access controls, resource quotas, and audit trails for governance.[20]

Source URLs:

• northwind.co
• northwind.co
• cloudsigma.com
• tatacommunications.com
• redhat.com